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Kaleb Phipps
Kaleb Phipps
Verified email at kit.edu
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Review of automated time series forecasting pipelines
S Meisenbacher, M Turowski, K Phipps, M Rätz, D Müller, V Hagenmeyer, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (6 …, 2022
372022
pyWATTS: Python workflow automation tool for time series
B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ...
arXiv preprint arXiv:2106.10157, 2021
222021
Model diagnostics and forecast evaluation for quantiles
T Gneiting, D Wolffram, J Resin, K Kraus, J Bracher, T Dimitriadis, ...
Annual Review of Statistics and Its Application 10, 597-621, 2023
212023
Evaluating ensemble post-processing for wind power forecasts
K Phipps, S Lerch, M Andersson, R Mikut, V Hagenmeyer, N Ludwig
Wind Energy, 2022
152022
Hardware-in-the-Loop Co-simulation of a Smart Building in a Low-voltage Distribution Grid
S Kochanneck, I Mauser, K Phipps, H Schmeck
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018
152018
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
B Heidrich, M Turowski, K Phipps, K Schmieder, W Süß, R Mikut, ...
Applied Intelligence 53 (8), 8826-8843, 2023
112023
Net load forecasting using different aggregation levels
M Beichter, K Phipps, MM Frysztacki, R Mikut, V Hagenmeyer, N Ludwig
Energy Informatics 5 (Suppl 1), 19, 2022
92022
Modeling and generating synthetic anomalies for energy and power time series
M Turowski, M Weber, O Neumann, B Heidrich, K Phipps, HK Çakmak, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
92022
A benchmark for parking duration prediction of electric vehicles for smart charging applications
K Schwenk, K Phipps, B Briegel, V Hagenmeyer, R Mikut
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021
82021
Enhancing anomaly detection methods for energy time series using latent space data representations
M Turowski, B Heidrich, K Phipps, K Schmieder, O Neumann, R Mikut, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
52022
Customized uncertainty quantification of parking duration predictions for ev smart charging
K Phipps, K Schwenk, B Briegel, R Mikut, V Hagenmeyer
IEEE Internet of Things Journal, 2023
32023
The impact of forecast characteristics on the forecast value for the dispatchable feeder
D Werling, M Beichter, B Heidrich, K Phipps, R Mikut, V Hagenmeyer
Companion Proceedings of the 14th ACM International Conference on Future …, 2023
32023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
B Heidrich, K Phipps, O Neumann, M Turowski, R Mikut, V Hagenmeyer
arXiv preprint arXiv:2302.02597, 2023
32023
Potential of ensemble copula coupling for wind power forecasting
K Phipps, N Ludwig, V Hagenmeyer, R Mikut
PROCEEDINGS 30. WORKSHOP COMPUTATIONAL INTELLIGENCE 26, 87, 2020
32020
Automating value-oriented forecast model selection by meta-learning: Application on a dispatchable feeder
D Werling, M Beichter, B Heidrich, K Phipps, R Mikut, V Hagenmeyer
Energy Informatics Academy Conference, 95-116, 2023
22023
Creating probabilistic forecasts from arbitrary deterministic forecasts using conditional invertible neural networks
K Phipps, B Heidrich, M Turowski, M Wittig, R Mikut, V Hagenmeyer
arXiv preprint arXiv:2302.01800, 2023
22023
Boost short-term load forecasts with synthetic data from transferred latent space information
B Heidrich, L Mannsperger, M Turowski, K Phipps, B Schäfer, R Mikut, ...
Energy Informatics 5 (Suppl 1), 20, 2022
22022
High-resolution real-world electricity data from three microgrids in the global south
M Luh, K Phipps, A Britto, M Wolf, M Lutz, J Kraft
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
22022
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
M Beichter, D Werling, B Heidrich, K Phipps, O Neumann, N Friederich, ...
Proceedings of the 15th ACM International Conference on Future and …, 2024
2024
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network
K Phipps, B Heidrich, M Turowski, M Wittig, R Mikut, V Hagenmeyer
Applied Intelligence, 1-29, 2024
2024
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